Toward combining intra-real time dispatch (RTD) and AGC for on-line power balancing

Marija D. Ilie, Xiaoqi Yin, Qixing Liu, Yang Weng

Research output: Contribution to journalConference article

3 Citations (Scopus)

Abstract

In this paper we propose first a predictive adaptive intra-RTD dispatch comprising: (1) Intra-RTD non-zero mean predictor which utilizes historic data about various uncertainties to predict the most likely non-zero mean imbalances; and, (2) Adaptive controller for non-zero mean intra-RTD imbalances using two-stage robust optimization. The result of applying these methods sequentially at the beginning of each RTD interval is the least-cost robust adaptation of RTD schedules in anticipation of the most likely non-zero mean imbalances. We illustrate how this proposed predictive adaptive intra-RTD dispatch can be implemented for a typical hour. Second, only hard-to-predict near-zero-mean imbalances are compensated using Automatic Generation Control (AGC). The basic conclusion is that a combination of predictive adaptive intra-RTD and recently proposed Enhanced-AGC (E-AGC) should be used for the least cost on-line balancing of non-zero mean and zero mean imbalances, respectively.

Original languageEnglish (US)
Article number6939398
JournalIEEE Power and Energy Society General Meeting
Volume2014-October
Issue numberOctober
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

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Costs
Controllers
Uncertainty

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Toward combining intra-real time dispatch (RTD) and AGC for on-line power balancing. / Ilie, Marija D.; Yin, Xiaoqi; Liu, Qixing; Weng, Yang.

In: IEEE Power and Energy Society General Meeting, Vol. 2014-October, No. October, 6939398, 01.01.2014.

Research output: Contribution to journalConference article

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